How to use get_pivots results - not memory locations

[anon2010]

I'm passing in a dataframe with ohlcv data to get_pivots and I'm yet unable to figure out how to use/format the results. I just keep getting memory locations instead.

quotes_list = [
        Quote(d,o,h,l,c,v) 
        for d,o,h,l,c,v 
        in zip(pandas.to_datetime(df.time), df.open, df.high, df.low, df.close, df.volume)
    ]

pivots_list = indicators.get_pivots(quotes_list)

print()
print(pivots_list)

This prints:
[<stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DDCAF7F0>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DDCAEC80>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DDCAF1F0>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F00A0>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F0100>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F0160>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F01C0>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F0220>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F0280>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F02E0>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F0340>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F03A0>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F0400>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F0460>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F04C0>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F0520>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F0580>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F05E0>, <stock_indicators.indicators.pivots.PivotsResult object at 0x00000229DE1F0640>,...

I THINK I need to add something at the end of this line like
in zip(pandas.to_datetime(df.time), df.open, df.high, df.low, df.close, df.volume).some-other-func()

Any idea what I'm doing wrong here?

I thank you very much for the input.

[DaveSkender]

See the basic example in our guide. Essentially you're getting a series of PivotsResult class objects returned; you have to further specify which data element when using to depict values.

The response class for Pivots is slightly more complex in that it also returns an enum that may translate different. @LeeDongGeon1996 can explain better.

[anon2010]

Thank you very much for the input. I'm trying to get HH / LL into an existing pandas dataframe with ohlcv ("df").

    quotes_list = [
        Quote(d,o,h,l,c,v) 
        for d,o,h,l,c,v 
        in zip(pandas.to_datetime(df.time), df.open, df.high, df.low, df.close, df.volume)
    ]

    pivots_PivotsResult = indicators.get_pivots(quotes_list)

    # add HH and LL columns to df so that they can be filled when needed
    df['HH'] = ''
    df['LL'] = ''

    count = 0
    for r in pivots_PivotsResult:
        if r.high_trend == PivotTrend.HH:
            df['HH'].iloc[count] = '*'
        if r.low_trend == PivotTrend.LL:
            df['LL'].iloc[count] = '*'
        count = count + 1

For some reason, it looks like some of the results are accurate but then others are not. Obviously, this is due to my incorrect usage; not the indicator. Is this how you would go about putting this into an existing dataframe?

[LeeDongGeon1996]

I think you are using correctly. Can you give me more detail about it?